Salesforce

Salesforce

Senior Site Reliability Engineer

California - San Francisco · Senior

Sponsorship not specifiedDetected 7 days ago
PythonGoDistributed SystemsCode ReviewGitAWSGCPDockerKubernetesCI/CDLinuxPrometheusGrafanaDatadogSite Reliability EngineeringTemporalMachine LearningAirflowLLMsAgentic AIDetection EngineeringDesign SystemsSalesforceCRM

About the role

  • To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Responsibilities

  • Lead the coordinated response to incidents as an Incident Commander, drive fast recovery (low TTR), and ensure lasting improvements through blameless postmortems.
  • Partner with product and engineering teams early in the lifecycle to design, build, and operate systems that are reliable by default.

Requirements

  • 5+ years of experience in systems engineering and software engineering for large-scale, internet-facing services.
  • Hands-on expertise with containerized architectures (Docker, Kubernetes) and orchestration platforms.
  • Strong knowledge of distributed systems and Linux/Unix internals, with experience tuning performance and troubleshooting at scale.
  • Familiarity with large-scale internet service architectures (DNS, HTTP, Load Balancing, caching, etc.).
  • Proven proficiency in Python and Go (GoLang) with strong software engineering practices (testing, code review, CI/CD).
  • Hands-on experience with workflow/orchestration engines (Temporal, Airflow, Argo Workflows, or similar) for building durable automation pipelines.
  • Track record of mentoring and technically coaching other engineers.
  • Ability to work in a 24/7 global operations model, managing multiple priorities under time-sensitive conditions.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Skills

  • Job Category
  • Software Engineering
  • About Salesforce
  • Here, ambition meets action.
  • Tech meets trust.
  • And innovation isn't a buzzword - it's a way of life.
  • Ready to level-up your career at the company leading workforce transformation in the agentic era?
  • The Experience
  • Understanding of AI/ML concepts applied to operations (e.g., anomaly detection, predictive analysis).

Compensation

  • It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

Benefits

  • It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
  • The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
  • Certain roles may be eligible for incentive compensation, equity, and benefits.
  • Salesforce offers a variety of benefits to help you live well including:
  • time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Company info

  • At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor market

Visa & Work Authorization

  • Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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This listing is sourced directly from Salesforce's careers page and normalized into a canonical job model.